Title :
Multiplexed model predictive control weighting selection using Genetic Algorithm
Author :
Joelianto, Endra ; Hernawan, Fikri M.
Author_Institution :
Bandung Inst. of Technol., Bandung, Indonesia
Abstract :
This paper presents the application of genetic algorithm (GA) to find the optimal weighting of multiplexed model predictive control (MMPC). Using GA, the selection procedure can be done to ensure the best possible combination of the weighting parameters of MMPC. A bake plate system model controlled using MMPC is used to demonstrate the effect of the selected parameters using GA.
Keywords :
genetic algorithms; predictive control; bake plate system model; genetic algorithm; multiplexed model predictive control weighting selection; weighting parameter combination; Closed loop systems; Control systems; Cost function; Electronic mail; Genetic algorithms; Optimal control; Paper technology; Predictive control; Predictive models; Transient response; genetic algorithm; multiplexed model predictive control; optimal weighting; quadratic cost; transient response;
Conference_Titel :
Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4244-4999-6
Electronic_ISBN :
978-1-4244-5000-8
DOI :
10.1109/ICICI-BME.2009.5417217
